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Update how-to-troubleshoot-environments.md
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articles/machine-learning/how-to-troubleshoot-environments.md

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@@ -872,7 +872,7 @@ Ensure that you're using a compatible python version
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### Interactive auth was attempted
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<!--issueDescription-->
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This can happen when pip attempts interactive authentication during package installation.
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This issue can happen when pip attempts interactive authentication during package installation.
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**Potential causes:**
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* You've listed a package that requires authentication, but you haven't provided credentials
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* [Azure CLI workspace connections](https://learn.microsoft.com/cli/azure/ml/connection?view=azure-cli-latest)
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### Forbidden blob
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- Failed to create or update the conda environment because a blob contained in the associated storage account was inaccessible
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- Either open up permissions on the blob or add/replace the SAS token in the URL
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<!--issueDescription-->
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This issue can happen when an attempt to access a blob in a storage account is rejected.
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**Potential causes:**
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* The authorization method you're using to access the storage account is invalid
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* You're attempting to authorize via shared access signature (SAS), but the SAS token is expired or invalid
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**Affected areas (symptoms):**
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* Failure in building environments from UI, SDK, and CLI.
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* Failure in running jobs because it will implicitly build the environment in the first step.
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<!--/issueDescription-->
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**Troubleshooting steps**
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Read the following to understand [how to authorize access to blob data in the Azure portal](../storage/blobs/authorize-data-operations.md)
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Read the following to understand [how to authorize access to data in Azure storage](../storage/common/authorize-data-access.md)
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Read the following if you're interested in [using SAS to access Azure storage resources](../storage/common/storage-sas-overview.md)
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### Horovod build
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- Failed to create or update the conda environment because horovod failed to build

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